recipe r-beyondcell

Tool for the Analysis of tumour therapeutic heterogeneity in single-cell RNA-seq

Homepage:

https://gitlab.com/bu_cnio/beyondcell

License:

GPL-3

Recipe:

/r-beyondcell/meta.yaml

Beyondcell is a methodology for the identification of drug vulnerabilities in single-cell RNA-seq (scRNA-seq) data. To this end, Beyondcell focuses on the analysis of drug-related commonalities between cells by classifying them into distinct Therapeutic Clusters (TCs).

package r-beyondcell

Versions:

1.3.3-0

Depends:

• bioconductor-qusage >=2.22.0

• numba 0.46.*

• python 3.6.*

• r-base >=4.1,<4.2.0a0

• r-bnstruct >=1.0.6

• r-cowplot >=1.1.0

• r-deldir >=1.0_2

• r-gdata >=2.18.0

• r-ggplot2 >=3.3.2

• r-ggrepel >=0.8.2

• r-patchwork >=1.0.1

• r-plyr >=1.8.6

• r-rcolorbrewer >=1.1-2

• r-reshape2 >=1.4.4

• r-scales >=1.1.1

• r-see

• r-seurat >=3.2.2

• r-useful

• r-viridis >=0.5.1

• umap-learn 0.4.6.*

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install r-beyondcell

and update with:

conda update r-beyondcell

or use the docker container:

docker pull quay.io/biocontainers/r-beyondcell:<tag>

(see r-beyondcell/tags for valid values for <tag>)

Download stats

Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/r-beyondcell/README.html)